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adaptivefiltering
- 改进基于当前统计模型的目标跟踪算法，提高了综合跟踪性能
CSSinger
- 包括基于“当前”统计模型和Singer模型的机动目标跟踪Matlab程序
Kalman_BasedOnStatistic
- Kalman滤波的一个仿真程序，基于“当前”统计模型
目标跟踪
- 基于当前统计模型的目标跟踪算法，KLMAM滤波器
adaptivefiltering
- 改进基于当前统计模型的目标跟踪算法，提高了综合跟踪性能-Based on current statistical model to improve the target tracking algorithm, improve the comprehensive tracking performance
CSSinger
- 包括基于“当前”统计模型和Singer模型的机动目标跟踪Matlab程序-Including those based on
Kalman_BasedOnStatistic
- Kalman滤波的一个仿真程序，基于“当前”统计模型-Kalman filter, a simulation program, based on the
csfilter
- 本程序是运用kalman filter实现机动目标跟踪的程序，其中运用的模型是当前统计模型！有需要的拿去，大家一起学习！-This procedure is to use kalman filter to achieve maneuvering target tracking procedure, in which the model is the use of current statistical model! Take in ne
CS_KF_1wei
- 基于当前统计模型的目标跟踪算法，就用卡尔曼滤波器，目标跟踪和数据整合类的同志可下-Based on current statistical model of the target tracking algorithm using Kalman filter, target tracking and data integration can be under the category of Comrade
CurrentStatisticalModel
- 当前统计模型机动目标跟踪算法。本程序对做圆周运动的机动目标的X方向进行了跟踪仿真。-Current statistical model for maneuvering target tracking algorithm. This procedure for doing circular motion of the X direction of maneuvering target tracking simulation carried
IMM
- 机动目标跟踪，交互式多模型算法，“当前”统计模型-Maneuvering target tracking, interacting multiple model algorithm, " current" statistical model
cs
- 当前统计模型的跟踪方法，并给出相应的目标运动轨迹和预测估计，程序经证明是有效的。-Current statistical model of the tracking method, and gives the corresponding target trajectory estimates and projections, the program proved to be effective
- 基于机动目标当前统计模型的单目标跟踪，采用卡尔曼滤波实现-Maneuvering target based on current statistical model of the single-target tracking using Kalman filter to achieve
CostReference
- 一篇关于代价参考粒子滤波算法的论文，该算法的优点是不需要任何先验概率知识的假定和重采样过程，可实现并行处理。本文将代价参考粒子滤波与当前统计模型的优点相结合 ,提出一种新的当前统计模型自适应跟踪算法 ,用于非线性非高斯系统的机动目标跟踪。-A particle filter on the reference price of the paper, the advantages of the algorithm does not requ
CS
- 上传了几个基于“当前”统计模型的机动目标跟踪的程序，包括子程序和文献，还有粒子滤波的目标跟踪程序-From a few based on the " current" statistical model for maneuvering target tracking procedures, including routine and literature, as well as particle filter targ
dangqian
- 假定机动目标做匀加速运动，基于目标当前统计模型的目标跟踪算法-Maneuvering target is assumed to do constant acceleration, the current statistical model based on target tracking algorithm
当前统计模型+跟踪+卡尔曼滤波
- 基于 “ 当前 ” 统计模型的自适应不敏卡尔曼滤波算法(Adaptive Unscented Kalman Filtering Algorithm Based on Current Statistical Model)
“当前”统计模型(Kalman)
- 根据当前运动模型，进行Kalman滤波。得到滤波优化后的运动轨迹(Kalman filtering is carried out according to the current motion model)
一维（引入渐消因子）
- 跟踪一维激动目标，采用当前统计模型，由于目标存在机动突变，引入渐消因子(tracking for 1-D maneuvering target, using current statistical model, using for the target with mobile suddenly)
上传程序
- 对当前统计模型进行了自适应调整，跟踪效果更好。(The current statistical model is adjusted adaptively, and the tracking effect is better.)